Ton 开发者采用“抵抗狗”表情包头像来支持 Pavel Durov; 代币跳涨 140%

tokeninsight_newsPubblicato 2024-08-27Pubblicato ultima volta 2024-08-27

据 The Block 报道,迷因币"抵抗狗"经历了市场反弹,周一涨幅超过 140%。

这一涨势是在开发者将其指定为 Toncoin 在各个社区频道的官方头像后引发的。

最大的 Toncoin 连锁上的迷因币"抵抗狗"(REDO)经历了市场反弹,涨幅超过 140%,这是在开发者将其选为 Toncoin 在各个社区频道的官方头像后引发的。

这是 Ton 开发者为了与其所谓的"数字抵抗"运动保持一致而采取的一项更广泛的举措。这个头像包括一只身穿兜帽的白色卡通狗,取代了之前的 Ton 区块链标志。

核心开发者表示,他们已在官方 Telegram 频道和 X 账户等平台上采用了"抵抗狗"头像。此举是在 Telegram 创始人、Ton 区块链的关键人物 Pavel Durov 在上周末在法国被捕之后做出的。

"为了支持'数字抵抗',我们正在将 Toncoin 的标志和头像更新为数字抵抗的全球象征 - 抵抗狗",该团队在周一宣布。

在此公告后,该代币在周一飙升超过 140%,从 0.35 美元涨至 0.85 美元以上,随后在撰写本文时回落至 0.63 美元,根据 Dexscreener 的数据。该代币的市值目前为 6500 万美元。

Durov 上周六在法国被警方拘留,原因是涉嫌参与网络犯罪调查,根据巴黎司法法庭的声明。此前曾有报道称,Telegram 在内容审核问题上与执法部门的合作不力。

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Sinking Servers into the Sea? They're Dead Serious About This

Sinking Servers into the Sea: A Serious Undertaking The article details China's launch of the world's first offshore, directly wind-powered, subsea data center in the East China Sea near Shanghai. This 1.95 billion yuan project houses over 2,000 servers in a submerged 10-meter-deep module. It is directly powered by a nearby offshore wind farm (over 95% green energy) and cooled by seawater. This innovative approach tackles the two core challenges of data centers: massive power consumption and heat dissipation. It achieves an exceptional Power Usage Effectiveness (PUE) of 1.15, far better than China's national average of 1.48, saving an estimated 61 million kWh of electricity annually. It also uses no freshwater and requires significantly less land. The concept builds upon earlier experiments, like Microsoft's Project Natick, which proved servers could reliably operate underwater with lower failure rates due to a stable, inert environment. The Shanghai project advances the model by co-locating with wind farms, simultaneously solving both the power source and cooling source problems in an economically viable way. This integration reduces infrastructure costs and eliminates grid transmission losses for the electricity used on-site. Looking ahead, the vision is to integrate data center modules directly into the foundations of future large-scale, deep-sea wind turbines. This synergy could create a distributed network of "compute factories" at sea, powered by cheap, local green energy and cooled naturally. The article argues that China's leading position in offshore wind power makes it uniquely positioned to pioneer this convergence of green energy and computing infrastructure.

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Duan Yongping Makes First Investment in Crypto Company: Why Circle?

Duan Yongping, a renowned Chinese investor known as the "Chinese Buffett," has made his first investment in the cryptocurrency space through his family office, H&H International Investment LLC. According to a recent 13F filing, the firm acquired a position in stablecoin issuer Circle (CRCL), valued at approximately $19.08 million. While this amount represents only 0.2% of Duan's total portfolio, the move is symbolically significant. Historically cautious towards Web3 and crypto assets, Duan's investment philosophy aligns with traditional value investing principles—emphasizing understandable business models, strong moats, and stable cash flows. Most crypto projects have not met these criteria. Circle, however, stands apart. Its core business revolves around issuing the USDC stablecoin and generating interest income from its reserve assets, primarily U.S. Treasuries. This model resembles a money market fund or digital dollar bank, providing predictable revenue. Circle's Q1 2026 financials showed strong growth: revenue reached $694 million (up 20% year-on-year), with 94% from reserve interest, and adjusted EBITDA was $151 million (up 24%). USDC circulation grew 28% to $77 billion. Duan's investment signals a shift: stablecoin infrastructure like Circle's is becoming legible to traditional value investors. It represents a bridge between crypto and mainstream finance, underscored by Circle's recent $222 million pre-sale for its Arc layer-1 blockchain, backed by major firms like a16z and BlackRock. This move suggests that as regulatory clarity improves and business models mature, more crypto-native companies may gain acceptance from traditional capital.

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Morse Code "Stole" $440,000 from Bankr, Undermining Trust in AI Agent Interactions Again

On May 20th, the AI agent platform Bankr reported an attack where 14 user wallets were compromised, resulting in losses exceeding $440,000. The incident, confirmed by security firm SlowMist, was a social engineering attack exploiting the trust layer between automated agents, similar to an attack on May 4th that stole $150k-$200k from a Grok-associated wallet. Bankr allows users and AI agents to manage wallets and execute transactions via instructions sent to @bankrbot on X. The platform monitors posts from specific agents like @grok, treating them as potential transaction commands, especially if the agent holds a "Bankr Club Membership" NFT which grants high-permission operations. The attacker exploited this design. First, they airdropped the required NFT to Grok's wallet. Then, they posted a Morse code message on X requesting a translation from Grok. The AI agent helpfully decoded and replied, but the decoded text contained a direct instruction to @bankrbot to transfer a large sum of DRB tokens to the attacker's address. Bankr's system, monitoring Grok's feed and verifying the NFT permissions, automatically signed and broadcast the transaction. The core issue is a flawed trust assumption: Bankr treated Grok's natural language output as authorized financial commands without verifying the intent. LLMs like Grok cannot distinguish between a genuine user request and a manipulated instruction. Using encoded messages like Morse code bypasses potential content filters, as the translation task itself appears harmless. This attack highlights a systemic vulnerability in platforms granting on-chain execution rights to AI agents. While Bankr has paused transactions and promised full reimbursement from its treasury, the incident underscores that defenses against "malicious-injection-via-LLM-output" were not part of the original security model. As AI agents gain financial agency, such trust-layer exploits represent a growing threat class.

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